Home  |  Top News  |  Most Popular  |  Video  |  Multimedia  |  News Feeds  |  Feedback
  Medicine  |  Nature & Earth  |  Biology  |  Technology & Engineering  |  Space & Planetary  |  Psychology  |  Physics & Chemistry  |  Economics  |  Archaeology
Top > Technology & Engineering > Stanford University Releases SU2 V2.0:… >
Stanford University Releases SU2 V2.0: Partial Differential Equation Analysis Suite

Published: January 8, 2013.
By Stanford University - Department of Aeronautics and Astronautics
http://aa.stanford.edu

Stanford’s Aerospace Design Laboratory (ADL) is releasing the second version of the Stanford University Unstructured (SU2) open-source code on Tuesday Jan. 8, 2013.

The suite is a collection of C++ based software tools for performing Partial Differential Equation (PDE) analysis and solving PDE constrained optimization problems. The toolset is designed with aerodynamics in mind, but is extensible to treat arbitrary sets of governing equations. It incorporates everything needed to perform a complete design loop; computing flow and adjoint solutions, obtaining objective function sensitivities, performing shape optimization and even grid adaptation.

Version 2.0 includes improvements in the code structure and also new exciting capabilities. The new code is faster, more accurate and more stable thanks to the implementation and improvement of numerical techniques like agglomeration multigrid, advanced linear solvers and preconditioning techniques (e.g., line implicit and low Mach preconditioning).

The new SU2 allows the user to solve new and important problems such as the simulation of internal flows, incompressible fluids, engine effects, plasma in air or argon, or even unsteady simulation and design using dynamic meshes.

The design capabilities have also been greatly improved with the introduction of a continuous adjoint for Euler and Navier-Stokes flows, a discrete adjoint for Euler flows and new Python scripts used for automation.

SU2: One year on from the first release

The initial version of the code was release on Thursday Jan. 19, 2012. Since then, it has been downloaded over 2,700 times and the main SU2 website has received over 22,000 independent visits from across the world, with the most visits coming from users in the USA, China and India.

The code, developed by students in the Aerospace Design Lab (ADL) in the Department of Aeronautics and Astronautics at Stanford University, has been downloaded by users in more than 100 countries. Both academia and industry have demonstrated a great interest in SU2, with registered downloads from companies and research centers such as MIT, NASA, National labs, Boeing and Airbus.

SU2 will also feature in a talk at the American Institute for Aeronautics and Astronautics (AIAA) Aerospace Sciences Meeting (ASM) conference held in Dallas, TX, on Jan. 7-10.

On the net: su2.stanford.edu



Translate this page: Chinese French German Italian Japanese Korean Portuguese Russian Spanish


 
All comments are reviewed before being posted. We cannot accept messages that refer a product, or web site.If you are looking for a response to a question please use our another feedback page.
Related »

Information 
4/16/10 
Scientists Discover New Genetic Sub-code
By Swiss Institute of Bioinoformatics
In a multidisciplinary approach, Professor Yves Barral, from the Biology Department at ETH Zurich and the computer scientists Dr. Gina Cannarozzi and Professor Gaston Gonnet, from the Computer Science …
Joint 
6/3/10 
Joint Source-channel Encoding/Decoding Techniques for Reliable Communications
By Science in China Press
Joint source-channel coding/decoding (JSCC/JSCD) techniques have become state-of-the-art and one of the challenging research subjects in the spatial communication area. This paper addresses the basic principles of joint source-channel …
Problems 
8/3/10 
Design Without Code
By British Council
Familiar problems …
Nice 
6/3/10 
DMP Brings About New Design Space for Virtualization Technology
By Science in China Press
Professors Wang and Luo and their group in the Department of Computer Science and Technology, Peking University (PKU), have recently introduced a new memory virtualization technique called Dynamic Memory …
More » 
 
© Newsline Group  |  About  |  Privacy Policy  |  Feedback  |  Mobile  |  Japanese Edition
All contents are copyright of their owners except U.S. Government works. U.S. Government works are assumed to be in the public domain unless otherwise noted. Everything else copyright ScienceNewsline.